Meta-Analysis of Diagnosis and Prognosis Research Studies
Generalizability estimates
Impute missing values by their conditional mean
Apply the inverse logit tranformation
Apply logit tranformation
Print the log-likelihood
Random effects meta-analysis
Meta-Analysis of Diagnosis and Prognosis Research Studies
Generalized Stepwise Regression for Prediction Models in Clustered Dat...
Calculate the total O:E ratio
Performance estimates
Display results from the funnel plot asymmetry test
Forest Plots
Plot the summary of the bivariate model from Riley et al. (2008).
Forest Plots
Plot the autocorrelation of a Bayesian meta-analysis model
Plot the autocorrelation of a Bayesian meta-analysis model
Plot the autocorrelation of a Bayesian meta-analysis model
Plot the autocorrelation of a Bayesian meta-analysis model
Calculate the concordance statistic
Convert a correlation matrix into a covariance matrix
Posterior distribution of estimated model parameters
Posterior distribution of estimated model parameters
Plot the prior and posterior distribution of a meta-analysis model
Plot the prior and posterior distribution of a meta-analysis model
Regression tests for detecting funnel plot asymmetry
Extract Model Fitted Values
Forest plot
Forest plot of a metapred fit
Forest plot of a validation object.
Forest plot
Gelman-Rubin-Brooks plot
Gelman-Rubin-Brooks plot
Gelman-Rubin-Brooks plot
Gelman-Rubin-Brooks plot
Forest Plots
Prediction Interval
Recalibrate a Prediction Model
Fit the alternative model for bivariate random-effects meta-analysis
Plot the running means of a Bayesian meta-analysis model
Plot the running means of a Bayesian meta-analysis model
Plot the running means of a Bayesian meta-analysis model
Plot the running means of a Bayesian meta-analysis model
Standard errors and variances
Stacked Regression
Subsetting metapred fits
Parameter summaries Provides the summary estimates of the alternative ...
Summarizing Univariate Meta-Analysis Models
Class "uvmeta". Result of a univariate meta-analysis.
Univariate meta-analysis
Meta-analysis of prediction model performance
Calculate Variance-Covariance Matrix for a Fitted Riley Model Object
Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis research studies. It includes functions to summarize multiple estimates of prediction model discrimination and calibration performance (Debray et al., 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>. Finally, the package provides functions for developing multivariable prediction models from datasets with clustering (de Jong et al., 2021) <doi:10.1002/sim.8981>.